Friday, August 14, 2026

AI Shifts From "Cognition" to "Consequence"

The shift from cognition to consequence is a useful way of looking at the meaning of chatbots becoming agents or artificial intelligence being embodied in robots. 


It’s a shift from opinion or advice to output; action in the physical world, not just in the digital realm. 


We move from “give me a recommendation” to “produce an effect.” 


The economic value also increases. Each step toward autonomous action enables the AI to produce more of the value of the outcome, shifting from flat fee revenue models to consumption- and output-based alternatives that allow the supplier to participate in the customer’s upside. 


Area

From

To

Example

Potential monetization

Customer service

Answer customer question

Resolve customer's problem

AI customer-service agents are already becoming a substantial enterprise market; CB Insights identified six companies with $100M+ ARR in 2025. (CB Insights)

Per resolution, conversation or customer

Software development

Suggest code

Build, test and deploy software

Coding agents such as Codex and Copilot increasingly operate across multi-step development workflows; Codex usage grew more than fivefold in the first half of 2026. (arXiv)

Per developer, task or compute consumed

Finance

Analyze financial information

Execute finance workflows

OpenAI/PwC are targeting planning, forecasting, procurement, payments, treasury, tax and accounting close. (OpenAI)

Per workflow or enterprise subscription

Advertising

Recommend campaign strategy

Create and manage campaigns

Amazon's Ads Agent automates campaign planning, launching and management; Amazon reports users have achieved lower CPI and CPA. (Amazon News)

Percentage of ad spend / performance fee

Shopping

Recommend products

Find, select and purchase

AI shopping agents are increasingly capable of selecting merchants and initiating purchases, potentially inserting AI between consumers and retailers. (Reuters)

Transaction fee / referral / commerce margin

Logistics

Optimize logistics

Direct logistics operations

Amazon is combining agentic AI with autonomous robotics and natural-language commands. (Amazon News)

Cost per package / task / warehouse

Manufacturing

Analyze production

Optimize and control production

OpenAI cites an industrial example where agents reduced production optimization from six weeks to one day. (OpenAI)

Share of productivity gain / software subscription

Automotive manufacturing

Robot follows fixed instructions

Robot perceives and decides what to do

Figure 02 operated at BMW, contributing to production of 30,000+ X3s; Figure 03 is moving into more complex sequencing tasks. (FigureAI)

Robot-as-a-service / cost per operation

Warehousing

Automated machinery

General-purpose physical agent

Amazon's Proteus can receive natural-language commands and move goods; Vulcan adds tactile sensing. (Amazon News)

Cost per movement / unit handled

Transportation

Navigation assistance

Autonomous transportation service

Waymo is already operating fully autonomous ride-hailing and reported more than half a million trips per week across 10 U.S. cities in March 2026. (Waymo)

Fare per trip

Personal transportation

Driver-assistance software

Autonomous driver

Waymo's 6th-generation Driver is designed to lower system cost while expanding autonomous operations. (Waymo)

Transportation revenue minus operating cost

Physical labor

Robot performs predefined movement

AI robot learns general tasks

Figure's Helix system is explicitly a vision-language-action system translating perception into physical actions. (FigureAI)

Labor-equivalent cost per hour/task


Consider value capture when an analyst uses a language model to produce a report 50 percent faster. 


A model supplier might charge $20–$100 per month. The customer's employer might save thousands of dollars a month. But the supplier’s upside is capped at the subscription fee.


An autonomous vehicle services supplier earns part of the value of each trip booked by customers.


And even if the timetable remains an issue, AI that produces an outcome is part of the reason for believing value from AI infrastructure investments will pay off.


Agents can accomplish complete workflows, but embodied AI goes further by converting intelligence into physical labor and physical output. 


In principle, agentic and embodied AI also will allow suppliers to reap more of the rewards of supplying the functionality. 


Where chatbots provide a limited “subscription” revenue source, while early agents generate revenue on a per-user or usage basis, embodied AI enables revenue earned on the basis of outcomes achieved, in addition to the other methods. 


In the case of autonomous services and products, suppliers might shift customers to a “service” model entirely, where the customer essentially outsourced complete functions to third parties. 


Model

What the AI does

Potential economic model

Copilot

Answers questions, generates content

Per-user subscription

Agent

Executes a workflow

Per-user, per-agent or usage fee

Outcome agent

Completes a business transaction

Percentage of transaction/value created

Digital labor

Performs work previously done by employees

Cost-per-task or labor substitution

Embodied AI

Performs physical work

Cost-per-hour, task, unit produced or outcome

Autonomous service

Provides an entire service

Customer pays for the service, AI supplier captures operating margin

The point is that this evolution to greater functionality (chatbot to agent or robot) also shifts the supplier ability to capture value. 


Thursday, August 13, 2026

Water is a "Short Blanket" or "Zero Sum" Problem in the U.S. West

Water issues in the intermountain U.S. west or many other places are a “short blanket” problem, a zero-sum economic issue where there is not enough of a vital asset and Improving one outcome automatically worsens another. 


Water policies sometimes also embody irrational economic choices. Consider that “the average price of water paid by agricultural purchasers across the three states, weighted by volume, was $30.32 per acre-foot,” according to a study by the UCLA Institute of the

Environment and Sustainability. 


“The average price of water paid by municipal entities, weighted by volume, was $512.01 per acre-foot.”


So the wholesale price charged to water suppliers serving city customers was nearly 17 times higher than charged to agricultural customers. 

UCLA Institute of the Environment and Sustainability 

Agriculture also represents most of the water use. Agriculture accounts for roughly 70- to 80 percent of water use in the Colorado River Basin and similar Western systems. 

In other words, residential rates equate to hundreds or thousands of dollars per acre foot ($3/1,000 gal ≈ $977/AF before fixed charges or higher tiers), where agricultural users pay perhaps $30 per acre foot.


Actual household bills also embed system-wide costs that agricultural users often avoid.


And, to be sure, residential customers pay for fully treated, pressurized, reliable delivery plus system upkeep. 


Agricultural rates often cover only diversion or basic delivery of untreated water. 


Fixed charges, tiered residential rates (designed to discourage high use), and pumping surcharges further raise household bills.


Location / Entity

User Type

Approximate Rate

Notes / Context

Source Example

Lower Colorado River Basin (AZ/CA/NV aggregate)

Agricultural districts (wholesale)

~$30/AF average (many $0–few $/AF)

Weighted average; large volumes at $0 via federal contracts (e.g., IID, Coachella, Palo Verde, Truckee-Carson, Unit B)

UCLA/NRDC report

Lower Colorado River Basin (AZ/CA/NV aggregate)

Municipal utilities (wholesale)

~$512/AF average

Same water sources; higher for California coastal/municipal

UCLA/NRDC report

Imperial Irrigation District (CA, major Colorado River user)

Agricultural

~$20/AF (district charge to farmers)

District itself pays $0 to federal government for water

Reporting on UCLA study / district statements

Denver Water (CO)

Residential (volumetric, inside city)

~2.90–6.96 per 1,000 gal (tiered; higher outside city)

Plus fixed meter charges (~$19+ for small meters); effective household rates higher with typical use

Denver Water rate schedules

Salt Lake City area / Utah examples

Residential

Often in the range of a few $/1,000 gal + base; monthly bills for moderate use commonly tens of dollars

Utah cities noted for relatively lower excessive-use rates vs. some neighbors in older comparisons; varies widely by provider

Utility comparisons & rate sheets

Phoenix (AZ)

Residential

Seasonal volumetric (e.g., ~4.93–6.13 per unit after included allowance) + service charge

Units often ~748 gal; includes environmental charges; bills vary strongly by season/use

City of Phoenix rate documents

Las Vegas Valley / Southern Nevada

Residential

Higher effective rates in comparative surveys (e.g., tens of $ for moderate monthly use)

Relies on Colorado River; strong conservation incentives

Comparative rate surveys

Various Intermountain municipal (e.g., Idaho, Utah examples)

Residential

Base + $1–several $ per 1,000 gal common; monthly costs for 10k–20k gal often $30–100+ depending on location/tiers

Highly variable; some flat or low-tier structures

Local utility rate comparisons (Ammon ID area, Mountain Regional UT, etc.)

Federal Reclamation Colorado River deliveries

Ag vs. others

~$0.12/AF weighted average (federal)

Contrasts with non-federal sources averaging hundreds of $/AF

UCLA/NRDC


Still, the inescapable point is that the economics of water pricing do not encourage water conservation by the users of 70 percent to 80 percent of all the water. 


In fact, western water use rights actually encourage agricultural consumption, as any reductions risk losing future allocations. 


So water conservation in the arid U.S. intermountain region can be a frustrating exercise. 


In the current drought, it seems that residential water usage has been cut about five percent, though water managers were aiming for 20 percent reductions.



Some of us might argue that 20-percent reductions are not feasible, for a number of reasons. Since 2000:

  • Population has grown as much as 40 percent but water consumption in the Denver metro area has declined 30 percent to 38 percent

  • Citizens consume only seven percent of Colorado’s water

  • Agriculture accounts for 89 percent of the total water consumed within Colorado.


source: Water Education Colorado

 

What nobody wants to discuss, much less do, is focus on reducing water use by the users of 70 percent to 80 percent of the water. 


As much as most people would prefer to support local agriculture, there are probably real limits to how much more water savings are possible in urban areas, given population growth and reduced consumption already between 30 percent and 38 percent. 


The point is that there simply are limits to how much less water consumers can routinely be expected to use. 


The core obstacles include western water law’s “prior appropriation” system. Basically, that creates a “use it or lose it” system with strong disincentives for senior (priority) right holders to conserve.


Among the key issues:

  • Prior appropriation (“first in time, first in right”): In most western states, senior appropriators get their full allocation before juniors get any in dry years

  • Use it or lose it: Many states presume abandonment or allow cancellation of rights after years of non‑use (five years in Oregon, 10 in Colorado) 

  • Beneficial-use and diversion requirements: Rights are often defined by a specific place of diversion, place of use, and type of use. Conserving by changing crops, fallowing, or switching to efficient irrigation can trigger administrative review and risk losing flexibility or volume if the saved water is not legally “owned” by the conserved

  • Third‑party injury and transfer hurdles: Even when conservation is allowed, moving saved water to other uses (including instream flows) can be blocked by protests from other users concerned about return flows and hydrologic impacts, making transactions slow and uncertain 


The result of misaligned rules is “defensive” overuse, such as irrigating even when uneconomic or maintaining low‑value crops, as  the legal right is more valuable than the annual crop. 


Feature

Colorado

Oregon

Nevada

Montana

California

Non-use period triggering risk

10 years (rebuttable presumption of abandonment)

5 successive years (rebuttable presumption of forfeiture)

5 successive years for groundwater; surface water follows abandonment only

10 successive years (prima facie presumption of abandonment)

5 years (reversion to public upon Board finding)

Legal standard

Requires intent plus non-use; lacks statutory forfeiture

Forfeiture statute (no intent required)

Statutory forfeiture for groundwater; abandonment for surface water

Presumption of abandonment created by statute

Statutory forfeiture; may require a competing claim

Efficiency-upgrade exemption

No dedicated exemption; offers conservation program tolling

Protected if facility remains capable and ready

No specific exemption, though conservation aids extensions

No dedicated exemption; set-aside programs are protected

Conservation deemed reasonable beneficial use; no forfeiture

Conservation mechanisms

Instream flow loans, water banking, and environmental contracts

Allocated Conserved Water Program and instream leases

Temporary change-of-use permits and extension reviews

Instream leasing and temporary flow changes

Instream flow dedication and temporary urgency changes

Priority preserved?

Yes; original priority date remains intact

Yes; original or slightly junior dates for certificates

Subject to Engineer approval; no dedicated leasing statute

Yes; FWP leases maintain their original priority

Yes; instream dedications preserve existing priority

source: Perplexity analysis 


The perhaps-obvious solution is to change the rules:


  • Statutory “conservation credits” and safe harbors: Laws that let users keep ownership of water they save through efficiency (rather than risking forfeiture) 

  • Flexible leasing and temporary transfers: Short‑term leases of water that let rights holders reduce use without abandoning the right 

  • Strategic water reserves and state purchases: Letting states or others lease or buy high‑priority rights to maintain streamflows, recharge aquifers, or retire pumping

  • Demand‑side management; crop or portfolio shifts: Shift to higher‑value/less‑water‑intensive crops 


The longer-term issue is harder to avoid. Agriculture in the arid U.S. west is challenged by the lack of water. Under the best of circumstances, the U.S. intermountain west is simply arid, as are the Great Plains (west of the 100th meridian). 

source: Environmental Defense Fund 


This is a short-blanket problem for sure. 


AI Shifts From "Cognition" to "Consequence"

The shift from cognition to consequence is a useful way of looking at the meaning of chatbots becoming agents or artificial intelligence bei...